A new review surveys causal-inference methods applied to Alzheimer's molecular data, finding that many observational ...

Scientific modeling faces a tradeoff between the interpretability of mechanistic theory and the predictive power of machine learning. While existing hybrid approaches have made progress by ...

Researchers have built a Bayesian liquid neural network that scores posture quality while quantifying its own uncertainty and ...

Bayesian networks have become popular tools for enterprise data scientists working with prediction, as the rise of cheap and abundant cloud computing has made way for adaptable infrastructure. In the ...